code: def test_graph_ops():
      A = np.ones((N, N))
      convert_to_sparse = [[True]]
  
      expected_output = convolution.normalized_adjacency(A)
      _check_op(
          ops.normalize_A, [A], expected_output, convert_to_sparse
      )
  
      expected_output = convolution.degree_matrix(A).sum(-1)
      _check_op(ops.degrees, [A], expected_output, convert_to_sparse)
  
      expected_output = convolution.degree_matrix(A)
      _check_op(
          ops.degree_matrix, [A], expected_output, convert_to_sparse
      )
  
imports: import numpy
  import scipy.sparse
  import tensorflow
  from spektral.data.utils import to_disjoint
  from spektral.layers import ops
  from spektral.utils import convolution
  from spektral.utils.sparse import sp_batch_to_sp_tensor, sp_matrix_to_sp_tensor
label_desc: Use image node_id 11 for calling a global function with example usage: test_graph_ops() without return types